Complexity analysis in electrophysiological signals

Healthy states appear to be more complex than those observed in disease. We perform complexity and entropy analyses of physiological signals to provide tools for diagnosis.

Leo Medina
Leo Medina
Principal Investigator

Leo teaches computer engineering courses at Usach, and his research interests are in the neural engineering and computational neuroscience fields. His work has contributed to understand how nerve fibers respond to electrical stimulation.

Max Chacón
Collaborator
Cristóbal Rojas
Collaborator
Sebastián Garay
Sebastián Garay
MSc student